Popular GitHub Repositories for Scans

An AI-powered file management tool that ensures privacy by organizing local texts, images. Using Llama3.2 3B and Llava v1.6 models with the Nexa SDK, it intuitively scans, restructures, and organizes files for quick, seamless access and easy retrieval.

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud

PatrOwl - Open Source, Smart and Scalable Security Operations Orchestration Platform

[CVPR'19] 3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans

[ECCV 2020] ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language

AIShield Watchtower: Dive Deep into AI's Secrets! ? Open-source tool by AIShield for AI model insights & vulnerability scans. Secure your AI supply chain today! ????

Stay ahead of AI trends with automated Reddit insights! ? This tool scans AI-related Reddit communities in both English and Chinese, using DeepSeek R1 to analyze posts and comments, summarize key discussions, and track historical trends. Daily rankings highlight the hottest topics, helping you catch emerging trends before they go mainstream.

A tool for precisely placing 3D landmarks on 3D facial scans based on the paper "Multi-view Consensus CNN for 3D Facial Landmark Placement"

Desktop app that automatically scans and blocks malicious MCP traffic in AI apps like Cursor, Claude, VS Code and Windsurf.

DICOM Image Segmentation with CNNs in Tensorflow

Code release for "Learning to Detect Mobile Objects from LiDAR Scans Without Labels" [CVPR 2022]

Image-based COVID-19 diagnosis. Links to software, data, and other resources.

End-to-end Python CT volume preprocessing pipeline to convert raw DICOMs into clean 3D numpy arrays for ML. From paper Draelos et al. "Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes."

Pancreas Segmentation in Abdominal CT Scans with Convolutional Neural Network

Using DCGAN for segmenting brain tumors from brain image scans

This repository contains code to train object detection models like FRCNN/YOLO for identifying objects in Ground Penetrating Radar scans. It also contains code to generate fake data using Generative Adversarial Networks(GANs).

The system consists of multiple AI agents that collaborate to strategize, generate commands, and execute scans based on the client's description, without the need for human intervention.

Real-time eBPF-powered network security monitor with AI-driven threat detection. Surfaces port scans, DDoS attacks, botnet activity, and anomalies at 100Gbps+ speeds with sub-microsecond latency (~150 million packets/sec).

基于机器学习的胸部CT影像多器官、多疾病预测模型。摘自Draelos等人的论文“基于机器学习的大规模胸部计算机断层扫描影像多异常预测”。